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Link to original content: https://doi.org/10.48550/arXiv.2401.10256
[2401.10256] Active headrest combined with a depth camera-based ear-positioning system
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2401.10256 (cs)
[Submitted on 25 Dec 2023]

Title:Active headrest combined with a depth camera-based ear-positioning system

Authors:Yuteng Liu, Haowen Li, Haishan Zou, Jing Lu, Zhibin Lin
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Abstract:Active headrests can reduce low-frequency noise around ears based on active noise control (ANC) system. Both the control system using fixed control filters and the remote microphone-based adaptive control system provide good noise reduction performance when the head is in the original position. However, their performance degrades significantly when the head is in motion. In this paper, a human ear-positioning system based on the depth camera is introduced to address this problem. The system uses RTMpose model to estimate the two-dimensional (2D) positions of the ears in the color frame, and then derives the corresponding three-dimensional (3D) coordinates in the depth frame with a depth camera. Experimental results show that the ear-positioning system can effectively track the movement of ears, and the broadband noise reduction performance of the active headrest combined with the system is significantly improved when the human head is translating or rotating.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
Cite as: arXiv:2401.10256 [cs.CV]
  (or arXiv:2401.10256v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2401.10256

Submission history

From: Yuteng Liu [view email]
[v1] Mon, 25 Dec 2023 10:28:19 UTC (17,318 KB)
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